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Early fire detection using non-linear multi-temporal prediction of thermal imagery / A. Koltunov in Remote sensing of environment, vol 110 n° 1 (14/09/2007)  

Public [article]  inRemote sensing of environment > vol 110 n° 1 (14/09/2007) . - pp 18 - 28 Titre : Early fire detection using non-linear multi-temporal prediction of thermal imagery Type de document : Article/Communication Auteurs : A. Koltunov, Auteur ; S.L. Ustin, Auteur Année de publication : 2007 Article en page(s) : pp 18 - 28 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse diachronique [Termes IGN] anomalie thermique [Termes IGN] détection de changement [Termes IGN] image multitemporelle [Termes IGN] image Terra-MODIS [Termes IGN] image thermique [Termes IGN] incendie de forêt [Termes IGN] prévention des risques Résumé : (Auteur) This paper presents a sub-pixel thermal anomaly detection method based on predicting background pixel intensities using a non-linear function of a plurality of past images of the inspected scene. At present, the multitemporal approach to thermal anomaly detection is in its early development stage. In case of space-borne surveillance the multitemporal detection is complicated by both spatial and temporal variability of background surface properties, weather influences, viewing geometries, sensor noise, residual misregistration, and other factors. We use the problem of fire detection and the MODIS data to demonstrate that advanced multitemporal detection methods can potentially outperform the operationally used optimized contextual algorithms both under morning and evening conditions. Copyright Elsevier Numéro de notice : A2007-348 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.02.010 En ligne : https://doi.org/10.1016/j.rse.2007.02.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28711 [article]

Application of multiple endmember spectral mixture analysis (MESMA) to AVIRIS imagery for coastal salt marsh mapping: a case study in China Camp, CA, USA / L. Li in International Journal of Remote Sensing IJRS, vol 26 n° 23 (December 2005)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 23 (December 2005) . - pp 5193 - 5207 Titre : Application of multiple endmember spectral mixture analysis (MESMA) to AVIRIS imagery for coastal salt marsh mapping: a case study in China Camp, CA, USA Type de document : Article/Communication Auteurs : L. Li, Auteur ; S.L. Ustin, Auteur ; M. Lay, Auteur Année de publication : 2005 Article en page(s) : pp 5193 - 5207 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse de mélange spectral d’extrémités multiples [Termes IGN] analyse discriminante [Termes IGN] analyse multibande [Termes IGN] bande infrarouge [Termes IGN] Californie (Etats-Unis) [Termes IGN] carte de la végétation [Termes IGN] image AVIRIS [Termes IGN] littoral [Termes IGN] marais salé [Termes IGN] plante halophile Résumé : (Auteur) Multiple endmember spectral mixture analysis (MESMA) was applied to the Airborne Visible and Infrared Imaging Spectrometer (AVIRIS) imagery of a salt marsh in China Camp at San Pablo Bay, California, A nine-endmember set representing materials within the scene was used including: two Salicornia and two soils, and Grindelia, Spartina, dry grass, water and shade. The resultant abundance maps were used to investigate the spatial distribution of the marsh vegetation species, Salicornia virginica, Grindelia Stricta and Spartinafoliosa. The Spartina abundance map exhibited a well-defined zone bordering the water and the lower marsh, which is in good agreement with the field observations made in 2002. Comparison of the Salicornia map with all six field global positional system (GPS) polygons indicates Salicornia was classified with high accuracy. The proposed approach did a good job in classifying Spartina and Salicornia which cover 93.81% of the total marsh. The Grindelia fraction image underestimates in some areas, while in other areas it shows false detection. This misclassification is attributed to the spectral similarity between Grindelia and Salicornia and to the small patch size of Grindelia. Further work is required to solve this confusion. Numéro de notice : A2005-514 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500218911 En ligne : https://doi.org/10.1080/01431160500218911 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27650 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-05231	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Classification of contamination in salt marsh plant using hyperspectral reflectance / M.D. Wilson in IEEE Transactions on geoscience and remote sensing, vol 42 n° 5 (May 2004)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 42 n° 5 (May 2004) . - pp 1088 - 1095 Titre : Classification of contamination in salt marsh plant using hyperspectral reflectance Type de document : Article/Communication Auteurs : M.D. Wilson, Auteur ; S.L. Ustin, Auteur ; D.M. Rocke, Auteur Année de publication : 2004 Article en page(s) : pp 1088 - 1095 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] agriculture [Termes IGN] analyse comparative [Termes IGN] contamination [Termes IGN] image hyperspectrale [Termes IGN] marais salé [Termes IGN] pétrole [Termes IGN] pollution des sols [Termes IGN] réflectance spectrale [Termes IGN] réflectance végétale Résumé : (Auteur) In this paper, we compare the classification effectiveness of two relatively new techniques on data consisting of leaf-level reflectance from five species of salt marsh and two species of crop plants (in four experiments) that have been exposed to varying levels of different heavy metal or petroleum toxicity, with a control treatment for each experiment. If these methodologies work well on leaf-level data, then there is hope that they will also work well on data from air- and spaceborne platforms. The classification methods compared were support vector classification (SVC) of exposed and nonexposed plants based on the spectral reflectance data, and partial least squares compression of the spectral reflectance data followed by classification using logistic discrimination (PLSALD). The statistic we used to compare the effectiveness of the methodologies was the leave-one-out cross-validation estimate of the prediction error. Our results suggest that both techniques perform reasonably well, but that SVC was superior to PLS/LD for use on hyperspectral data and it is worth exploring as a technique for classifying heavy-metal or petroleum exposed plants for the more complicated data from airand spaceborne sensors. Numéro de notice : A2004-195 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.823278 En ligne : https://doi.org/10.1109/TGRS.2003.823278 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26722 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-04051	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Inundation discriminated using sun glint / V.C. Vanderbilt in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 40 n° 6 (June 2002) . - pp 1279 - 1287 Titre : Inundation discriminated using sun glint Type de document : Article/Communication Auteurs : V.C. Vanderbilt, Auteur ; G Perry, Auteur ; G.P. Livingston, Auteur ; S.L. Ustin, Auteur ; et al., Auteur Année de publication : 2002 Article en page(s) : pp 1279 - 1287 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection [Termes IGN] bande rouge [Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF [Termes IGN] inondation [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] POLarization and Directionality of Earth's Reflectances [Termes IGN] réflectance végétale [Termes IGN] télédétection spatiale [Termes IGN] zone inondable Résumé : (Auteur) Inundation is linked to water, carbon, and energy budgets at landscape to global scales. We describe a new remote sensing technique for identifying inundated areas based on the properties of the glitterthe strong, angular signature reflection that is characteristic of surface water and uncharacteristic of other cover types. We discriminated three cover types vegetation emergent above inundated soils, open water, and noninundated cover types from analysis of directional data collected in the red spectral band by the airborne POLDER (polarization and directionality of earth's reflectance) sensor. We found that values of the normalized difference vegetation index (NDVI) decreased dramatically in the glitter direction, providing an indication of surface water. Application of our new technique holds promise for mapping the seasonal and interannual extent of inundation, a key descriptor of wetlands hydrology. Numéro de notice : A2002-188 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.800233 En ligne : https://doi.org/10.1109/TGRS.2002.800233 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22103 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-02061	RAB	Revue	Centre de documentation	En réserve L003	Disponible
065-02062	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Detection of interannual vegetation responses to climatic variability using AVIRIS data in a coastal savanna in California / M. Garcia in IEEE Transactions on geoscience and remote sensing, vol 39 n° 7 (July 2001)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 39 n° 7 (July 2001) . - pp 1480 - 1490 Titre : Detection of interannual vegetation responses to climatic variability using AVIRIS data in a coastal savanna in California Type de document : Article/Communication Auteurs : M. Garcia, Auteur ; S.L. Ustin, Auteur Année de publication : 2001 Article en page(s) : pp 1480 - 1490 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse linéaire des mélanges spectraux [Termes IGN] analyse spectrale [Termes IGN] Californie (Etats-Unis) [Termes IGN] image AVIRIS [Termes IGN] image hyperspectrale [Termes IGN] littoral [Termes IGN] pluie [Termes IGN] savane Résumé : (Auteur)Ecosystem responses to interannual weather variability are large and superimposed over any long-term directional climatic responses making it difficult to assign causal relationships to vegetation change. Better understanding of ecosystem responses to interannual climatic variability is crucial to predicting long-term functioning and stability. Hyperspectral data have the potential to detect ecosystem responses that are undetected by broadband sensors and can be used to scale to coarser resolution global mapping sensors, e.g., advanced very high resolution radiometer (AVHRR) and MODIS. This research focused on detecting vegetation responses to interannual climate using the airborne visible-infrared imaging spectrometer (AVIRIS) data over a natural savanna in the Central Coast Range in California. Results of linear spectral mixture analysis and assessment of the model errors were compared for two AVIRIS images acquired in spring of a dry and a wet year. The results show that mean unmixed fractions for these vegetation types were not significantly different between years due to the high spatial variability within the landscape. However, significant community differences were found between years on a pixel basis, underlying the importance of site-specific analysis. Multitemporal hyperspectral coverage is necessary to understand vegetation dynamics. Numéro de notice : A2001-206 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/36.934079 En ligne : https://doi.org/10.1109/36.934079 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21900 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-01071	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Vegetation in deserts: environmental influences on regional abundance / M.O. Smith in Remote sensing of environment, vol 31 n° 1 (01/01/1990)  

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Vegetation in deserts: a regional measure of abundance from multispectral images / M.O. Smith in Remote sensing of environment, vol 31 n° 1 (01/01/1990)  

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Discriminating semiarid vegetation using airborne imaging spectrometer data : a preliminary assessment / R.W. Thomas in Remote sensing of environment, vol 23 n° 2 (01/11/1987)  

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